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Solution for the rdpeng#3 week project
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## Put comments here that give an overall description of what your | ||
## functions do | ||
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## Write a short comment describing this function | ||
# This function creates a special "matrix" object that can cache its inverse. | ||
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makeCacheMatrix <- function(x = matrix()) { | ||
# Although the 'set' function is not required in the description of the task | ||
#there can be found a phrase in the description of cacheSolve function | ||
#"(and the matrix has not changed)" implying that the matrix can be changed. | ||
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inv <- NULL | ||
set <- function(y) { | ||
x <<- y | ||
inv <<- NULL | ||
} | ||
get <- function() x | ||
setinverse <- function(inv_2) | ||
inv <<- inv_2 | ||
getinverse <- function() | ||
inv | ||
list(set = set, get = get, setinverse = setinverse, getinverse = getinverse) | ||
} | ||
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## Write a short comment describing this function | ||
# This function computes the inverse of the special "matrix" returned by | ||
#makeCacheMatrix above. | ||
# If the inverse has already been calculated (and the matrix has not changed), | ||
#then the cachesolve should retrieve the inverse from the cache | ||
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cacheSolve <- function(x, ...) { | ||
## Return a matrix that is the inverse of 'x' | ||
inv <- x$getinverse() | ||
if(!is.null(inv)) { | ||
message("getting cached data") | ||
return(inv) | ||
} | ||
data <- x$get() | ||
inv <- solve(data, ...) | ||
x$setinverse(inv) | ||
inv | ||
} |